CA3080184A1 - Deploiement d'un reseau neuronal forme en fonction de l'ensemble de donnees des empreintes par systeme de reconnaissance retinienne - Google Patents
Deploiement d'un reseau neuronal forme en fonction de l'ensemble de donnees des empreintes par systeme de reconnaissance retinienneInfo
- Publication number
- CA3080184A1 CA3080184A1 CA3080184A CA3080184A CA3080184A1 CA 3080184 A1 CA3080184 A1 CA 3080184A1 CA 3080184 A CA3080184 A CA 3080184A CA 3080184 A CA3080184 A CA 3080184A CA 3080184 A1 CA3080184 A1 CA 3080184A1
- Authority
- CA
- Canada
- Prior art keywords
- rss
- neural network
- parameters
- mobile device
- indoor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
- H04B17/27—Monitoring; Testing of receivers for locating or positioning the transmitter
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
- H04W16/20—Network planning tools for indoor coverage or short range network deployment
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Quality & Reliability (AREA)
- Navigation (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
Un procédé et un système de déploiement dun réseau neuronal formé en fonction de lensemble de données des empreintes par système de reconnaissance rétinienne pour une navigation et un positionnement intérieur dun dispositif mobile sont décrits. Le procédé consiste à : sur la base de paramètres du système de reconnaissance rétinienne acquis à partir dune pluralité de dispositifs mobiles acquis à un ensemble de positions à lintérieur dune zone intérieure, accumuler les paramètres du système de reconnaissance rétinienne en tant que réseau neuronal formé en fonction de lensemble de données des empreintes par système de reconnaissance rétinienne de la zone intérieure; et lorsquune densité de points représentés par lensemble de positions ayant des paramètres du système de reconnaissance rétinienne accumulés dépasse une densité seuil de déploiement, déployer lensemble de données des empreintes par système de reconnaissance rétinienne à lintérieur dune carte dempreintes digitales pour une navigation du dispositif mobile de la zone intérieure, la carte dempreintes digitales englobant lensemble de positions.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/429,551 US10716089B1 (en) | 2019-06-03 | 2019-06-03 | Deployment of trained neural network based RSS fingerprint dataset |
US16/429551 | 2019-06-03 |
Publications (2)
Publication Number | Publication Date |
---|---|
CA3080184A1 true CA3080184A1 (fr) | 2020-07-23 |
CA3080184C CA3080184C (fr) | 2021-05-04 |
Family
ID=71520086
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3080184A Active CA3080184C (fr) | 2019-06-03 | 2020-04-30 | Deploiement d'un reseau neuronal forme en fonction de l'ensemble de donnees des empreintes par systeme de reconnaissance retinienne |
Country Status (2)
Country | Link |
---|---|
US (1) | US10716089B1 (fr) |
CA (1) | CA3080184C (fr) |
Families Citing this family (15)
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US11751057B2 (en) * | 2019-09-19 | 2023-09-05 | Colorado State University Research Foundation | Security-enhanced deep learning fingerprint-based indoor localization |
CN111935629B (zh) * | 2020-07-30 | 2023-01-17 | 广东工业大学 | 一种基于环境特征迁移的自适配定位方法 |
CN111965600A (zh) * | 2020-08-14 | 2020-11-20 | 长安大学 | 一种强遮挡环境下基于声音指纹的室内定位方法 |
CN112533136B (zh) * | 2020-11-26 | 2021-12-07 | 南京工业大学 | 一种基于深度学习的wlan指纹定位方法 |
CN112637768B (zh) * | 2021-03-10 | 2021-06-04 | 北京数业专攻科技有限公司 | 基于蜂窝网络的移动终端定位方法及装置 |
CN113188546B (zh) * | 2021-04-30 | 2022-09-06 | 成都市微泊科技有限公司 | 基于图像识别与人行航位推算的室内定位导航方法 |
CN114466449B (zh) * | 2021-07-15 | 2022-10-28 | 荣耀终端有限公司 | 一种位置特征获取方法及终端设备 |
CN113720333B (zh) * | 2021-08-16 | 2023-04-28 | 中山大学 | 一种基于图注意力网络的室内多点协同定位方法 |
CN114286282B (zh) * | 2021-11-18 | 2023-12-26 | 中国科学院空天信息创新研究院 | 基于手机WiFi RSS数据和降维算法的指纹定位方法 |
CN114185003B (zh) * | 2022-02-15 | 2022-05-10 | 武汉华康世纪医疗股份有限公司 | 一种基于多源信号融合的室内定位方法及系统 |
WO2023155183A1 (fr) * | 2022-02-21 | 2023-08-24 | Intel Corporation | Systèmes, appareil, articles de fabrication et procédés pour l'entraînement de modèles d'apprentissage automatique par distillation de caractéristiques propres sans enseignant |
US20230362588A1 (en) * | 2022-05-09 | 2023-11-09 | Design Reactor, Inc. | Monitored environment fingerprint modeling system |
CN115175306B (zh) * | 2022-06-24 | 2024-05-07 | 国网河南省电力公司经济技术研究院 | 一种基于卷积神经网络的电力物联网室内定位方法 |
CN115638795B (zh) * | 2022-12-26 | 2023-03-10 | 武汉大学 | 一种室内多源泛在定位指纹数据库的生成与定位方法 |
CN117479299B (zh) * | 2023-11-07 | 2024-08-13 | 武汉大学 | 一种基于5g多波束下行信号的移动定位方法及系统 |
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JP4016792B2 (ja) * | 2002-10-16 | 2007-12-05 | 日産自動車株式会社 | 移動体情報配信システム |
US8559975B2 (en) * | 2011-07-22 | 2013-10-15 | Microsoft Corporation | Location determination based on weighted received signal strengths |
EP2773973B1 (fr) * | 2011-11-04 | 2017-05-24 | Telefonaktiebolaget LM Ericsson (publ) | Positionnement d'un équipement utilisateur sur la base de mesures de référence virtuelles |
US8880105B2 (en) * | 2011-12-29 | 2014-11-04 | Khalifa University Of Science, Technology And Research | Method and system for localization |
US11164141B1 (en) * | 2013-02-07 | 2021-11-02 | United Parcel Service Of America, Inc. | Systems and methods for synchronized delivery |
US9600777B2 (en) * | 2013-03-11 | 2017-03-21 | Georges Harik | Configuring and optimizing computational structure for a machine learning application using a tuple of vectors |
US9083452B2 (en) * | 2013-03-13 | 2015-07-14 | Qualcomm, Incorporated | Near-field equivalent source representation for SAR estimation |
JP6081941B2 (ja) * | 2014-02-28 | 2017-02-15 | 三菱重工業株式会社 | 電力需要予測装置、電力供給システム、電力需要予測方法及びプログラム |
US10223635B2 (en) * | 2015-01-22 | 2019-03-05 | Qualcomm Incorporated | Model compression and fine-tuning |
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US10289963B2 (en) * | 2017-02-27 | 2019-05-14 | International Business Machines Corporation | Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques |
US20190102675A1 (en) * | 2017-09-29 | 2019-04-04 | Coupa Software Incorporated | Generating and training machine learning systems using stored training datasets |
US20190102695A1 (en) * | 2017-09-29 | 2019-04-04 | Coupa Software Incorporated | Generating machine learning systems using slave server computers |
US10791439B2 (en) * | 2018-02-14 | 2020-09-29 | Ford Global Technologies, Llc | Methods and systems for vehicle data upload |
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2019
- 2019-06-03 US US16/429,551 patent/US10716089B1/en active Active
-
2020
- 2020-04-30 CA CA3080184A patent/CA3080184C/fr active Active
Also Published As
Publication number | Publication date |
---|---|
US10716089B1 (en) | 2020-07-14 |
CA3080184C (fr) | 2021-05-04 |
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